{"id":"W6925633111","doi":"10.17605/osf.io/d25wj","title":"Piloting the Risk of Bias tool for Network Meta-analysis","year":2018,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Psychedelics and Drug Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Noise (video); Artificial neural network; Data collection; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2650622,0.007298382,0.01724312,0.01060267,0.002241911,0.007326246,0.005371314,0.006999671,0.08924702],"category_scores_gemma":[0.5677682,0.005149749,0.0391944,0.01119351,0.00392306,0.00666404,0.007331039,0.01012915,0.006521739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003546967,"about_ca_system_score_gemma":0.006943799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003720687,"about_ca_topic_score_gemma":0.005940622,"domain_scores_codex":[0.6818904,0.2503727,0.03836169,0.01846222,0.008396685,0.002516314],"domain_scores_gemma":[0.3282257,0.5928105,0.01940775,0.04629552,0.01128821,0.001972323],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.06732506,0.001318786,0.01715816,0.130214,0.435693,0.002165924,0.005290893,0.01611891,0.007939649,0.03794517,0.1066442,0.1721863],"study_design_scores_gemma":[0.1318554,0.007239104,0.02571587,0.01458195,0.300835,0.001508528,0.001760001,0.1777854,0.01703729,0.1642974,0.1544464,0.002937617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02532584,0.00702351,0.818441,0.005074258,0.009098034,0.06368952,0.02307254,0.04432143,0.003953802],"genre_scores_gemma":[0.106732,0.0005811282,0.7043502,0.001631717,0.0005793707,0.1749176,0.001568268,0.006321981,0.003317672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7349378,"threshold_uncertainty_score":0.9063092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197850139527608,"score_gpt":0.3592857923185498,"score_spread":0.239500778365789,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}